import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

from ...tokenization_utils import BatchEncoding, PreTrainedTokenizer
from ...utils import logging


A__     =				logging.get_logger(__name__)

A__     =				'▁'

A__     =				{
    'vocab_file': 'vocab.json',
    'spm_file': 'sentencepiece.bpe.model',
    'tokenizer_config_file': 'tokenizer_config.json',
}

A__     =				{
    'vocab_file': {
        'facebook/m2m100_418M': 'https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json',
        'facebook/m2m100_1.2B': 'https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json',
    },
    'spm_file': {
        'facebook/m2m100_418M': 'https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model',
        'facebook/m2m100_1.2B': 'https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_config_file': {
        'facebook/m2m100_418M': 'https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json',
        'facebook/m2m100_1.2B': 'https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json',
    },
}

A__     =				{
    'facebook/m2m100_418M': 1_024,
}

# fmt: off
A__     =				{
    'm2m100': ['af', 'am', 'ar', 'ast', 'az', 'ba', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'ceb', 'cs', 'cy', 'da', 'de', 'el', 'en', 'es', 'et', 'fa', 'ff', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'ht', 'hu', 'hy', 'id', 'ig', 'ilo', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'lb', 'lg', 'ln', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'ns', 'oc', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'ss', 'su', 'sv', 'sw', 'ta', 'th', 'tl', 'tn', 'tr', 'uk', 'ur', 'uz', 'vi', 'wo', 'xh', 'yi', 'yo', 'zh', 'zu'],
    'wmt21': ['en', 'ha', 'is', 'ja', 'cs', 'ru', 'zh', 'de']
}
class 	_lowerCAmelCase		(  lowerCamelCase__					):
							_UpperCAmelCase         =  VOCAB_FILES_NAMES
							_UpperCAmelCase         =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_UpperCAmelCase         =  PRETRAINED_VOCAB_FILES_MAP
							_UpperCAmelCase         =  ['input_ids', 'attention_mask']

							_UpperCAmelCase         =  []
							_UpperCAmelCase         =  []







							def __init__(					self  :     List[str]						,       __snake_case  :     List[Any]						,       __snake_case  :     str						,       __snake_case  :     str=None						,       __snake_case  :     str=None						,       __snake_case  :     Dict="<s>"						,       __snake_case  :     Optional[Any]="</s>"						,       __snake_case  :     Any="</s>"						,       __snake_case  :     Optional[int]="<pad>"						,       __snake_case  :     Any="<unk>"						,       __snake_case  :     Optional[Any]="m2m100"						,       __snake_case  :     Optional[Dict[str, Any]] = None						,       __snake_case  :     Union[str, Any]=8						,       **__snake_case  :     Dict						,       ):
										lowerCamelCase    :List[str]    	=  {} if sp_model_kwargs is None else sp_model_kwargs

										lowerCamelCase    :Union[str, Any]    	=  language_codes
										lowerCamelCase    :Optional[Any]    	=  FAIRSEQ_LANGUAGE_CODES[language_codes]
										lowerCamelCase    :Any    	=  {lang_code: F"__{lang_code}__" for lang_code in fairseq_language_code}

										lowerCamelCase    :int    	=  kwargs.get('''additional_special_tokens'''						,       []		)
										kwargs["additional_special_tokens"] += [
										    self.get_lang_token(__snake_case		)
										    for lang_code in fairseq_language_code
										    if self.get_lang_token(__snake_case		) not in kwargs["additional_special_tokens"]
										]

										super().__init__(
										    src_lang=__snake_case						,       tgt_lang=__snake_case						,       bos_token=__snake_case						,       eos_token=__snake_case						,       sep_token=__snake_case						,       unk_token=__snake_case						,       pad_token=__snake_case						,       language_codes=__snake_case						,       sp_model_kwargs=self.sp_model_kwargs						,       num_madeup_words=__snake_case						,       **__snake_case						,       )

										lowerCamelCase    :str    	=  vocab_file
										lowerCamelCase    :List[str]    	=  load_json(__snake_case		)
										lowerCamelCase    :List[str]    	=  {v: k for k, v in self.encoder.items()}
										lowerCamelCase    :Union[str, Any]    	=  spm_file
										lowerCamelCase    :Any    	=  load_spm(__snake_case						,       self.sp_model_kwargs		)

										lowerCamelCase    :Tuple    	=  len(self.encoder		)

										lowerCamelCase    :Dict    	=  {
										    self.get_lang_token(__snake_case		): self.encoder_size + i for i, lang_code in enumerate(__snake_case		)
										}
										lowerCamelCase    :Union[str, Any]    	=  {lang_code: self.encoder_size + i for i, lang_code in enumerate(__snake_case		)}
										lowerCamelCase    :str    	=  {v: k for k, v in self.lang_token_to_id.items()}

										lowerCamelCase    :List[Any]    	=  src_lang if src_lang is not None else 'en'
										lowerCamelCase    :Optional[int]    	=  tgt_lang
										lowerCamelCase    :int    	=  self.get_lang_id(self._src_lang		)
										self.set_src_lang_special_tokens(self._src_lang		)

										lowerCamelCase    :Optional[Any]    	=  num_madeup_words







							@property
							def 					snake_case	(					self  :     Dict		):
										return len(self.encoder		) + len(self.lang_token_to_id		)







							@property
							def 					snake_case	(					self  :     List[str]		):
										return self._src_lang







							@src_lang.setter
							def 					snake_case	(					self  :     Any						,       __snake_case  :     str		):
										lowerCamelCase    :List[Any]    	=  new_src_lang
										self.set_src_lang_special_tokens(self._src_lang		)







							def 					snake_case	(					self  :     int						,       __snake_case  :     str		):
										return self.sp_model.encode(__snake_case						,       out_type=__snake_case		)







							def 					snake_case	(					self  :     Union[str, Any]						,       __snake_case  :     Dict		):
										if token in self.lang_token_to_id:
													return self.lang_token_to_id[token]
										return self.encoder.get(__snake_case						,       self.encoder[self.unk_token]		)







							def 					snake_case	(					self  :     Any						,       __snake_case  :     int		):
										if index in self.id_to_lang_token:
													return self.id_to_lang_token[index]
										return self.decoder.get(__snake_case						,       self.unk_token		)







							def 					snake_case	(					self  :     List[str]						,       __snake_case  :     Optional[int]		):
										lowerCamelCase    :Dict    	=  []
										lowerCamelCase    :Dict    	=  ''
										for token in tokens:
													# make sure that special tokens are not decoded using sentencepiece model
													if token in self.all_special_tokens:
																out_string += self.sp_model.decode(__snake_case		) + token
																lowerCamelCase    :Optional[int]    	=  []
													else:
																current_sub_tokens.append(__snake_case		)
										out_string += self.sp_model.decode(__snake_case		)
										return out_string.strip()







							def 					snake_case	(					self  :     List[Any]						,       __snake_case  :     List[int]						,       __snake_case  :     Optional[List[int]] = None						,       __snake_case  :     bool = False		):

										if already_has_special_tokens:
													return super().get_special_tokens_mask(
													    token_ids_a=__snake_case						,       token_ids_a=__snake_case						,       already_has_special_tokens=__snake_case		)

										lowerCamelCase    :Tuple    	=  [1] * len(self.prefix_tokens		)
										lowerCamelCase    :Dict    	=  [1] * len(self.suffix_tokens		)
										if token_ids_a is None:
													return prefix_ones + ([0] * len(__snake_case		)) + suffix_ones
										return prefix_ones + ([0] * len(__snake_case		)) + ([0] * len(__snake_case		)) + suffix_ones







							def 					snake_case	(					self  :     Optional[Any]						,       __snake_case  :     List[int]						,       __snake_case  :     Optional[List[int]] = None		):
										if token_ids_a is None:
													return self.prefix_tokens + token_ids_a + self.suffix_tokens
										# We don't expect to process pairs, but leave the pair logic for API consistency
										return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens







							def 					snake_case	(					self  :     Tuple		):
										lowerCamelCase    :Union[str, Any]    	=  {self.convert_ids_to_tokens(__snake_case		): i for i in range(self.vocab_size		)}
										vocab.update(self.added_tokens_encoder		)
										return vocab







							def __getstate__(					self  :     str		):
										lowerCamelCase    :List[str]    	=  self.__dict__.copy()
										lowerCamelCase    :int    	=  None
										return state







							def __setstate__(					self  :     Union[str, Any]						,       __snake_case  :     Dict		):
										lowerCamelCase    :List[Any]    	=  d

										# for backward compatibility
										if not hasattr(self						,       '''sp_model_kwargs'''		):
													lowerCamelCase    :Tuple    	=  {}

										lowerCamelCase    :List[str]    	=  load_spm(self.spm_file						,       self.sp_model_kwargs		)







							def 					snake_case	(					self  :     Any						,       __snake_case  :     str						,       __snake_case  :     Optional[str] = None		):
										lowerCamelCase    :int    	=  Path(__snake_case		)
										if not save_dir.is_dir():
													raise OSError(F"{save_directory} should be a directory"		)
										lowerCamelCase    :List[Any]    	=  save_dir / (
										    (filename_prefix + '-' if filename_prefix else '') + self.vocab_files_names['vocab_file']
										)
										lowerCamelCase    :Any    	=  save_dir / (
										    (filename_prefix + '-' if filename_prefix else '') + self.vocab_files_names['spm_file']
										)

										save_json(self.encoder						,       __snake_case		)

										if os.path.abspath(self.spm_file		) != os.path.abspath(__snake_case		) and os.path.isfile(self.spm_file		):
													copyfile(self.spm_file						,       __snake_case		)
										elif not os.path.isfile(self.spm_file		):
													with open(__snake_case						,       '''wb'''		) as fi:
																lowerCamelCase    :int    	=  self.sp_model.serialized_model_proto()
																fi.write(__snake_case		)

										return (str(__snake_case		), str(__snake_case		))







							def 					snake_case	(					self  :     str						,       __snake_case  :     List[str]						,       __snake_case  :     str = "en"						,       __snake_case  :     Optional[List[str]] = None						,       __snake_case  :     str = "ro"						,       **__snake_case  :     int						,       ):
										lowerCamelCase    :str    	=  src_lang
										lowerCamelCase    :Tuple    	=  tgt_lang
										self.set_src_lang_special_tokens(self.src_lang		)
										return super().prepare_seqaseq_batch(__snake_case						,       __snake_case						,       **__snake_case		)







							def 					snake_case	(					self  :     Optional[Any]						,       __snake_case  :     Optional[Any]						,       __snake_case  :     Optional[str]						,       __snake_case  :     Optional[str]						,       **__snake_case  :     List[Any]		):
										if src_lang is None or tgt_lang is None:
													raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model'''		)
										lowerCamelCase    :str    	=  src_lang
										lowerCamelCase    :int    	=  self(__snake_case						,       add_special_tokens=__snake_case						,       **__snake_case		)
										lowerCamelCase    :List[Any]    	=  self.get_lang_id(__snake_case		)
										lowerCamelCase    :Any    	=  tgt_lang_id
										return inputs







							def 					snake_case	(					self  :     int		):
										self.set_src_lang_special_tokens(self.src_lang		)







							def 					snake_case	(					self  :     List[str]		):
										self.set_tgt_lang_special_tokens(self.tgt_lang		)







							def 					snake_case	(					self  :     List[Any]						,       __snake_case  :     str		):
										lowerCamelCase    :Any    	=  self.get_lang_token(__snake_case		)
										lowerCamelCase    :List[str]    	=  self.lang_token_to_id[lang_token]
										lowerCamelCase    :List[Any]    	=  [self.cur_lang_id]
										lowerCamelCase    :List[str]    	=  [self.eos_token_id]







							def 					snake_case	(					self  :     Optional[Any]						,       __snake_case  :     str		):
										lowerCamelCase    :str    	=  self.get_lang_token(__snake_case		)
										lowerCamelCase    :Tuple    	=  self.lang_token_to_id[lang_token]
										lowerCamelCase    :Union[str, Any]    	=  [self.cur_lang_id]
										lowerCamelCase    :Optional[int]    	=  [self.eos_token_id]







							def 					snake_case	(					self  :     Any						,       __snake_case  :     str		):
										return self.lang_code_to_token[lang]







							def 					snake_case	(					self  :     Optional[int]						,       __snake_case  :     str		):
										lowerCamelCase    :Union[str, Any]    	=  self.get_lang_token(__snake_case		)
										return self.lang_token_to_id[lang_token]





def 			_lowerCamelCase       ( a_					:			Tuple    ,      a_					:			Union[str, Any]):
			lowerCamelCase    :List[str]    	=  sentencepiece.SentencePieceProcessor(**_A)
			spm.Load(str(_A))
			return spm





def 			_lowerCamelCase       ( a_					:			Optional[Any]):
			with open(_A    ,      '''r''') as f:
						return json.load(_A)





def 			_lowerCamelCase       ( a_					:			str    ,      a_					:			List[Any]):
			with open(_A    ,      '''w''') as f:
						json.dump(_A    ,      _A    ,      indent=2)








'''simple docstring'''






def  lowerCamelCase__			(		_A					,     _A					,     _A=False							):

  if isinstance(_A					,     _A							) and isinstance(_A					,     _A							):
    a		:   Tuple	  =	len(set_a.intersection(_A							)							)

    if alternative_union:
      a		:   Union[str, Any]	  =	len(_A							) + len(_A							)
    else:
      a		:   Optional[Any]	  =	len(set_a.union(_A							)							)

    return intersection / union

  if isinstance(_A					,     (list, tuple)							) and isinstance(_A					,     (list, tuple)							):
    a		:   int	  =	[element for element in set_a if element in set_b]

    if alternative_union:
      a		:   Optional[int]	  =	len(_A							) + len(_A							)
      return len(_A							) / union
    else:
      a		:   Tuple	  =	set_a + [element for element in set_b if element not in set_a]
      return len(_A							) / len(_A							)

    return len(_A							) / len(_A							)
  return None


if __name__ == "__main__":
     lowerCAmelCase:   str					=		{'a', 'b', 'c', 'd', 'e'}
     lowerCAmelCase:   Optional[Any]					=		{'c', 'd', 'e', 'f', 'h', 'i'}
     print(jaccard_similarity(set_a, set_b))